Udemy - Databricks RAG Master Course - Build Production AI Pipelines [TorrentX]

Databricks RAG Master Course: Build Production AI Pipelines https://WebToolTip.com Published 8/2026 Created by ACHRAF ER-RAYA MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 46m ) | Size: 871.9 MB Master Databricks RAG. Build production AI pipelines, use Mosaic AI Vector Search, and deploy secure enterprise agents. What you'll learn ⚡ Configure Databricks Workspaces and Unity Catalog to build secure, governed Generative AI data pipelines and AI applications natively on your Lakehouse. ⚡ Ingest unstructured data, process text with Apache Spark, and deploy continuous-sync Mosaic AI Vector Search indexes without external databases. ⚡ Build highly accurate Retrieval-Augmented Generation (RAG) pipelines integrating LangChain with Databricks Foundation Model APIs for LLM hosting. ⚡ Evaluate RAG models for groundedness using MLflow and deploy production-ready REST API serving endpoints for autonomous Databricks Agent workflows. Requirements ❗ You need intermediate proficiency in Python programming and a basic understanding of SQL and data warehousing concepts. You must have access to a Databricks environment (a free trial on AWS, Azure, or GCP works perfectly for this). While a fundamental understanding of what Large Language Models (LLMs) are is helpful, no prior experience with Databricks Mosaic AI or MLflow is required.